JSM Preliminary Online Program
This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

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Legend: = Applied Session, = Theme Session, = Presenter, Sheraton Seattle Hotel & Towers = “S”
Washington State Convention & Trade Center = “CC”, Grand Hyatt Seattle = “H”

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142 Mon, 8/7/06, 10:30 AM - 12:20 PM CC-610
Nonparametric Regression Methods I - Contributed - Papers
Section on Nonparametric Statistics
Chair(s): Veera Baladandayuthapani, M. D. Anderson Cancer Center
     10:35 AM   Two-Sample Comparison with Long Memory ErrorsFang Li, Indiana University Purdue University Indianapolis
     10:50 AM   Some Diagnostic Methods for Choosing the Degree of Smoothing in Nonparametric RegressionCraig Andres, Kettering University; Robert Kushler, Oakland University
     11:05 AM   Spline-Backfitted Kernel Smoothing of Additive Regression ModelsJing Wang, Michigan State University; Lijian Yang, Michigan State University
     11:20 AM   Boundary Kernel Method in Nonparametric DeconvolutionShunpu Zhang, University of Nebraska-Lincoln
     11:35 AM   Double-Smoothing for Bias Reduction in Local Linear RegressionHua He, University of Rochester Medical Center ; Li-Shan Huang, University of Rochester
     11:50 AM   A Comparative Study of Stage-1 and Stage-2 Semiparametric Estimation of Hemodynamic Response Function for fMRI DataChunming Zhang, University of Wisconsin-Madison; Yuan Jiang, University of Wisconsin-Madison; Tao Yu, University of Wisconsin-Madison
     12:05 PM   Floor Discussion
 

JSM 2006 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised April, 2006